(senior) cloud infrastructure engineer - aws · gcp · azure

data scientist

data engineer

ai builder, manager

analytics engineer

consultant | data engineer Jobs in Amsterdam

consultant | data engineer

data developer

Doghouse Recruitment

<div>
 
 
 Data Engineer &ndash; SaaS (Amsterdam / Hybrid / up to &euro;85K + bonus)
 
 
 
 
 
 
 My client is looking for a Data Engineer to help take their customer app to the next level. The app is used by over 700,000 users and relied on daily by thousands, playing a key role in enabling more sustainable travel by bike, car, and scooter. In this role, your work will directly influence how people move through their cities every day.
 
 
 
 
 
 You will join a passionate team of 20 engineers working with modern technologies, focused on building new features, improving performance, and delivering an outstanding user experience. On top of this, the company is preparing for a major data migration and expects to onboard an additional 100,000 users in the short term making scalability, reliability, and performance more critical than ever.
 
 
 
 
 
 
 The role
 
 
 
 You will be working on a modern data platform built with Clickhouse, Airflow, Python, Docker, and Kubernetes. The platform processes large volumes of operational and event data and delivers reliable analytics at scale.
 
 
 
 
 
 In this role, you will design, build, and maintain robust data pipelines, improve and optimise data models, and help further develop the overall data platform. You will work closely with product and engineering teams to ensure data is accurate, reliable, and scalable across the organization.
 
 
 You will join a strong engineering environment where modern tooling, ownership, and impact are key.
 
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 5+ years of experience as a Data Engineer or similar role
 </li>
 <li>
 Strong experience with Python and building data pipelines
 </li>
 <li>
 Hands-on experience with DBT, Snowflake, Airflow, or similar orchestration tools
 </li>
 <li>
 Experience with CI/CD, Docker &amp; Kubernetes.
 </li>
 </ul>
 
 
 
 
 
 Benefits
 
 
 <ul>
 <li>
 Salary up to &euro;85K (including holiday allowance)
 </li>
 <li>
 Hybrid working model (60/40)
 </li>
 <li>
 Start with a 12-month contract, with permanent hire thereafter
 </li>
 <li>
 &ldquo;Check-out day&rdquo; every two weeks for a mental reset
 </li>
 <li>
 Bonus scheme
 </li>
 <li>
 &euro;2,000 annual learning budget
 </li>
 <li>
 Ability to work remotely for 2 weeks per year (including workations)
 </li>
 </ul>
 
 
 
 
 
 Interested? Apply or contact me at glenn@doghouse-recruitment.nl
 
 
</div>

Data Engineer

Client Server

<div>
 
 
 
 Full Stack Developer / Engineer (Kotlin AWS JavaScript) Amsterdam to &euro;85,000
 
 
 
 
 
 
 
 Are you a skilled Full Stack Developer looking for an opportunity to progress your career whilst working with a modern tech stack and continually improving your skills?
 
 
 
 
 
 You could be joining a scaling, global FinTech company, working on a successful product that helps global companies to achieve sustainability and NetZero targets via Blockchain technology solutions.
 
 
 
 
 
 As a Full Stack Developer you will work across the full technology stack with a focus on Kotlin backend systems but also with some front end (JavaScript, Angular / React) work. You'll quickly gain an understanding of the complete ecosystem of the modern, distributed application with a broad scope of work including AWS, mobile applications, trading and transfer functionality and integration of 3rd party platforms.
 
 
 
 
 
 This is an opportunity to work on worthwhile technology that is helping to increase decarbonisation whilst working on complex and interesting systems with continual learning opportunities.
 
 
 
 
 
 
 WFH Policy:
 
 
 
 You'll join colleagues in the Amsterdam office two days a week with flexibility to work from home the other three days.
 
 
 
 
 
 
 About you:
 
 
 <ul>
 <li>
 You have strong serverside Kotlin experience (Java background is good)
 </li>
 <li>
 You have experience with Spring Boot and microservices
 </li>
 <li>
 You have a thorough understanding of Computer Science fundamentals such as OOP, Design Patterns, Data Structures
 </li>
 <li>
 You have a good knowledge of AWS
 </li>
 <li>
 You have a good understanding of CI/CD, DevOps
 </li>
 <li>
 You also have some JavaScript, Angular, React front end skills
 </li>
 <li>
 You're collaborative, enjoy problem solving and continually learning
 </li>
 <li>
 You're keen to work in a start-up / scale-up environment with lots of ownership
 </li>
 </ul>
 
 
 
 
 
 What's in it for you:
 
 
 <ul>
 <li>
 Salary to &euro;85,000
 </li>
 <li>
 Flexible working in a relaxed technology focussed environment
 </li>
 <li>
 Continual learning and self-development opportunities
 
 
 </li>
 </ul>
 
 
 
 
 
 Apply now
 
 to find out more about this Full Stack Developer / Engineer (Kotlin AWS JavaScript) opportunity.
 
</div>

Full Stack Developer Kotlin AWS JavaScript - Start-up

RedCarpet®

<div>
 
 
 Jouw uitdaging
 
 
 
 Wil jij werken met de nieuwste technologie&euml;n binnen het Microsoft data-ecosysteem en bouwen aan schaalbare, toekomstbestendige dataplatformen? Als Senior Data Engineer speel je een sleutelrol in het ontwerpen en realiseren van moderne data-oplossingen.
 
 
 
 
 
 Je werkt aan complexe datavraagstukken binnen enterprise-omgevingen en helpt organisaties om volledig datagedreven te opereren. Van het bouwen van robuuste pipelines tot het neerzetten van complete lakehouse-architecturen: jij maakt het mogelijk.
 
 
 
 
 
 
 Onze partners &amp; sectoren
 
 
 
 Wij werken samen met een zorgvuldig opgebouwd netwerk van partners en opdrachtgevers binnen uiteenlopende sectoren. Hierdoor bieden wij dataprojecten die niet alleen technisch uitdagend zijn, maar ook inhoudelijk en maatschappelijk relevant.
 
 
 
 
 
 Onze partners zijn actief binnen onder andere de financi&euml;le dienstverlening, overheid en semi-overheid, energie, zorg, logistiek en bouw. Elke sector kent zijn eigen dynamiek en datavraagstukken, wat zorgt voor veel afwisseling en verdieping in je werk.
 
 
 
 
 
 Of je nu werkt aan schaalbare dataplatformen binnen finance, datagedreven oplossingen binnen de (semi-)overheid of innovatieve data-architecturen binnen energie of logistiek: jouw werk vormt de basis voor impactvolle inzichten.
 
 
 
 
 
 
 Wat ga je doen?
 
 
 
 &bull; Ontwerpen en implementeren van moderne data-architecturen (lakehouse, medallion)
 
 
 &bull; Bouwen en optimaliseren van data pipelines met Azure Data Factory en/of Microsoft Fabric
 
 
 &bull; Werken met Azure Synapse Analytics en/of Fabric Data Warehouse
 
 
 &bull; Inrichten en beheren van Azure Data Lake (Gen2)
 
 
 &bull; Integreren van databronnen via API&rsquo;s, streaming en batchprocessen
 
 
 &bull; Implementeren van CI/CD pipelines met Azure DevOps
 
 
 &bull; Toepassen van data modelling principes (bijv. dimensioneel modelleren, Data Vault)
 
 
 &bull; Optimaliseren van performance, kosten en schaalbaarheid
 
 
 &bull; Samenwerken met data scientists, analisten en stakeholders
 
 
 &bull; Adviseren over best practices, architectuur en datagovernance
 
 
 
 
 
 
 Wat breng je mee?
 
 
 
 &bull; Minimaal 5 jaar ervaring als Data Engineer
 
 
 &bull; Sterke ervaring binnen de Microsoft stack
 
 
 &bull; Ervaring met Azure Data Factory, Synapse Analytics en/of Microsoft Fabric
 
 
 &bull; Ervaring met Azure Data Lake en moderne data-architecturen
 
 
 &bull; Uitstekende kennis van SQL en Python
 
 
 &bull; Ervaring met Databricks (bij voorkeur binnen Azure)
 
 
 &bull; Kennis van Spark en distributed computing
 
 
 &bull; Ervaring met CI/CD en DevOps (Azure DevOps, Git)
 
 
 &bull; Kennis van data modelling technieken (Kimball, Data Vault)
 
 
 &bull; Ervaring met Power BI is een pr&eacute;
 
 
 &bull; Kennis van security, governance en data quality is een pr&eacute;
 
 
 &bull; Sterk probleemoplossend vermogen en communicatieve vaardigheden
 
 
 
 
 
 
 Wat krijg je ervoor terug?
 
 
 
 &bull; Werken met de nieuwste technologie&euml;n binnen de Microsoft data stack
 
 
 &bull; Projecten binnen complexe en datagedreven organisaties
 
 
 &bull; Veel ruimte voor eigen inbreng en technische keuzes
 
 
 &bull; Samenwerking met senior data professionals
 
 
 &bull; Marktconform salaris of aantrekkelijk zzp-tarief
 
 
 &bull; Flexibele werkvormen en hybride werken
 
 
 &bull; Volop mogelijkheden om jezelf verder te ontwikkelen en certificeringen te behalen
 
</div>

CuspAI

<div>
 
 About CuspAI
 
 
 
 CuspAI is the frontier AI company on a mission to solve the breakthrough materials needed to power human progress. While nature took billions of years to perfect molecules, we are harnessing AI to unlock trillion-dollar materials breakthroughs in months, not millennia. Our founding team is the most cited in the world, comprised of world-class researchers in AI, chemistry and engineering.
 
 
 We are working on some of the hardest and most important challenges including energy, clean water, the future of compute, and carbon capture, and this is just the start of what our 'search engine' for next-generation materials will unlock.
 
 
 We invite you to be part of a diverse, innovative team at the intersection of AI and materials science, working to create impactful partnerships that drive innovation, scalability, and industry collaboration. This work matters. Your work matters.
 
 
 
 We&rsquo;re on the cusp of the on-demand materials era. Join us.
 
 
 
 
 The Role
 
 
 
 As we grow, we are seeking a
 
 Data Engineer
 
 to play a crucial part in driving our research and development efforts forward.
 
 
 
 Your Impact
 
 
 
 As a Data Engineer you will be part of the new team building the infrastructure that underpins and acts as the critical bridge between raw chemical data and our machine learning models.
 
 
 
 Your main focus will be to build the pipeline infrastructure and tooling for data ingestion, moving towards self-serve setup for the scientific team members
 
 . You'll also be responsible for securing, collecting, cleaning, standardising, and tagging diverse chemical datasets to create high-quality training data for our ML researchers while working closely with our chemistry team to ensure scientific accuracy.
 
 
 
 What You Will Do
 
 
 
 
 Data Pipeline Development
 
 
 
 <ul>
 <li>
 Design and build robust data pipelines for materials science datasets, experimental results, and computational chemistry outputs.
 </li>
 <li>
 Develop processes to integrate diverse data sources including materials databases, literature, patent filings, and laboratory instruments.
 </li>
 <li>
 Create automated workflows for processing crystallographic data, molecular structures, and materials properties (you don&rsquo;t need to have direct domain experience - we can help bring you up to speed!).
 </li>
 <li>
 Build scalable systems to handle high-throughput computational chemistry calculations and experimental data.
 
 
 </li>
 </ul>
 
 Data Quality &amp; Standardisation
 
 
 
 <ul>
 <li>
 Partner closely with the scientific and research teams to implement automated quality checks for crystal structure data, chemical compositions, and experimental measurements.
 </li>
 <li>
 Create standardisation protocols for materials nomenclature, units, and measurement conditions.
 </li>
 <li>
 Build monitoring systems to ensure data integrity across all pipelines.
 
 
 </li>
 </ul>
 
 Collaboration &amp; Integration
 
 
 
 <ul>
 <li>
 You will also be working hand in hand with ML researchers to understand data requirements for model training and inference.
 </li>
 <li>
 Partner with materials scientists to ensure accurate representation of domain knowledge in data schemas.
 </li>
 <li>
 Integrate with laboratory automation systems and computational chemistry software.
 </li>
 <li>
 Support real-time data needs for AI-driven materials discovery experiments.
 
 
 </li>
 </ul>
 
 Must Have Skills and Qualifications
 
 
 
 <ul>
 <li>
 You are someone who gets excited about the opportunity to enable scientists to work on world changing challenges in this domain, with a personal interest in the potential applications of the technology that Cusp is building.
 </li>
 <li>
 You&rsquo;re a builder of tools and infrastructure who enjoys making life as easy as possible for the teams, providing self-serve, reliable and scalable ingestion pipelines.
 </li>
 <li>
 You have at least 3+ years experience in data engineering roles, preferably in scientific or research environments - you would be joining as a data engineering subject matter expert who can not only work autonomously but also provide guidance on best practice.
 </li>
 <li>
 High level of proficiency in Python and databases with experience in large-scale data processing - as part of our engineering team you&rsquo;ll be programming regularly, not just scripting.
 </li>
 <li>
 You&rsquo;re an advanced user of workflow orchestration tools (e.g. Airflow, Prefect, Dagster, Flyte or similar).
 </li>
 <li>
 Solid experience with containerisation (Docker, Kubernetes) and CI/CD practices.
 </li>
 <li>
 You have direct experience handling large/complex datasets and are interested in working with scientific packages.
 </li>
 <li>
 You&rsquo;re a fast learner when it comes to new tools/systems.
 </li>
 <li>
 You enjoy (and have experience in) designing systems that scale with growing data volumes and user demands.
 </li>
 <li>
 Understanding and appreciation of DevOps practices is also important.
 
 
 </li>
 </ul>
 
 Bonus Points (But Not Critical)
 
 
 
 <ul>
 <li>
 You&rsquo;ve worked with data from scientific computing (simulations or experiments).
 </li>
 <li>
 Knowledge of machine learning data requirements and MLOps practices, including pre-processing/processing as part of model training.
 </li>
 <li>
 An academic background in Materials Science, Chemistry, Chemical Engineering, or related field.
 
 
 </li>
 </ul>
 Even more bonus points if you have an understanding of crystallography, materials properties, and computational chemistry concepts!
 
 
 
 What we offer
 
 
 
 <ul>
 <li>
 A competitive salary: We value and reward impact and growth
 </li>
 <li>
 Equity in CuspAI: You have a stake in the success of the company
 </li>
 <li>
 Time off to stay fresh: 28 days holiday (DE, NL, UK) or 21 days holiday (JP, SG, US), in addition to local public holidays
 </li>
 <li>
 &lsquo;Gold Standard&rsquo; parental leave: 26 weeks (primary caregiver) and 12 weeks (secondary caregiver) at full pay - we look after you and your family while we work on the most important materials discovery problems together
 </li>
 <li>
 Professional development budget: We invest in your career development so you can stay up to date with the latest industry knowledge or add to your skills to increase impact and growth
 </li>
 <li>
 Solve meaningful problems: See how your work has a direct impact on advancing materials science and solving sustainability and climate-related problems through the creation and application of bleeding-edge SOTA technology and revolutionary techniques
 </li>
 <li>
 True interdisciplinary teamwork: Be part of a deeply collaborative environment bridging AI research, computational chemistry, and experimental science - work with world-class researchers and engineers who enjoy sharing knowledge and supporting each other
 
 
 </li>
 </ul>
 
 Join us in shaping the future of materials with AI. Together, we can create groundbreaking solutions for a more sustainable world.
 
 
 
 
 CuspAI is an equal opportunities employer committed to building a diverse and inclusive workplace
 
 . We do not discriminate on the basis of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding), veteran status, or any other basis protected by applicable law.
 
 
 
 We actively encourage applications from all backgrounds and value the unique perspectives and contributions that diversity brings to our team.
 
 
 
 
 Please let us know If you require any specific adjustments during or after the interview process. We will do everything we can within reason to accommodate.
 
 
 
</div>

Xccelerated | Part of Xebia

<div>
 
 Data Engineer
 
 
 
 
 
 
 Location:
 
 Netherlands (hybrid)
 
 
 
 Language:
 
 English-speaking environment
 
 
 
 
 
 Are you a
 
 Data Engineer based in Europe
 
 who wants to take the next step in your career?
 
 
 Would you like to
 
 relocate to the Netherlands
 
 and work on a modern cloud-based data platform while accelerating your growth through structured, high-level training?
 
 
 
 
 
 At
 
 Xccelerated
 
 , we are looking for
 
 Medior Data Engineers
 
 to help build a
 
 state-of-the-art data platform on Google Cloud Platform (GCP)
 
 . You&rsquo;ll work alongside experienced consultants and follow an intensive training program designed to rapidly strengthen your technical and professional skills.
 
 
 
 
 
 💡 Why join Xccelerated?
 
 <ul>
 <li>
 Build a
 
 modern data platform from scratch
 
 on Google Cloud Platform
 </li>
 <li>
 Work on real client projects while continuously improving your skills
 </li>
 <li>
 Receive
 
 60+ days of structured technical training
 
 led by experienced Tech Leads
 </li>
 <li>
 Collaborate with international engineering and analytics teams
 </li>
 <li>
 After one year, transition to a
 
 direct contract with the client organization
 
 </li>
 </ul>
 
 
 
 
 🚀 Your role as a Data Engineer
 
 
 As a Data Engineer at Xccelerated, you will help lay the foundation for data-driven decision making.
 
 
 You will:
 
 <ul>
 <li>
 Design, build and maintain
 
 scalable data pipelines
 
 on GCP
 </li>
 <li>
 Develop components of a modern data platform supporting analytics and machine learning use cases
 </li>
 <li>
 Ensure reliable integration between data sources, pipelines and data models
 </li>
 <li>
 Work closely with engineering, analytics and cloud teams on architecture and implementation
 </li>
 <li>
 Continuously improve data quality, reliability and performance
 </li>
 </ul>
 
 
 
 
 👩 💻 Who we&rsquo;re looking for
 
 
 You&rsquo;re a hands-on engineer who enjoys learning by doing and working on meaningful data challenges.
 
 
 You bring:
 
 <ul>
 <li>
 A Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data, Cloud or a related field
 </li>
 <li>
 
 3&ndash;4 years of experience
 
 as a Data Engineer (or similar role)
 </li>
 <li>
 Strong skills in
 
 Python
 
 and
 
 SQL
 
 </li>
 <li>
 Experience with at least one public cloud:
 
 GCP, AWS or Azure
 
 </li>
 <li>
 Familiarity with modern data tools such as
 
 Spark, Databricks or Airflow
 
 </li>
 <li>
 A proactive mindset and willingness to
 
 relocate to the Netherlands
 
 </li>
 </ul>
 
 
 
 
 🎁 What we offer
 
 
 At Xccelerated, we offer more than just a job &mdash; we offer a
 
 career accelerator in Data &amp; Cloud
 
 .
 
 <ul>
 <li>
 Competitive salary based on experience
 </li>
 <li>
 
 Relocation support
 
 for candidates moving to the Netherlands
 </li>
 <li>
 25 vacation days
 </li>
 <li>
 Intensive onboarding with a hands-on technical bootcamp
 </li>
 <li>
 Weekly technical training, mentoring and innovation days
 </li>
 <li>
 Company laptop and modern tooling
 </li>
 <li>
 Great lunches, excellent coffee and a well-stocked snack bar
 </li>
 <li>
 Hybrid working model and an international team
 </li>
 </ul>
 
 
 
 
 🌍 About Xccelerated
 
 
 Xccelerated (part of the
 
 Xebia Group
 
 ) is a tech accelerator focused on developing the next generation of Data &amp; Cloud professionals.
 
 
 You&rsquo;ll work
 
 four days per week
 
 on real client projects and spend
 
 one day per week
 
 on structured training, coaching and innovation. After one year, you&rsquo;ll have the opportunity to join one of our partner companies directly.
 
 
 
 
 
 📩 Interested in relocating to the Netherlands?
 
 
 We&rsquo;d love to hear from you.
 
 
 📧 Contact:
 
 Samantha Goncalves
 
 &ndash; sgoncalves@xccelerated.io
 
 
 📞 Phone: +31 6 13889770
 
 
 
 
 
 📋 Application process
 
 <ol>
 <li>
 Introductory interview with one of our recruiters
 </li>
 <li>
 Technical assessment &amp; presentation with one of our Tech Leads (remote)
 </li>
 </ol>
 
 We aim to complete the process within
 
 1&ndash;3 weeks
 
 , depending on availability.
 
</div>

Data Engineer (Relocation to the Netherlands)

Sprint and Partners

<div>
 
 
 SRE - Data Platform Engineer - Kubernetes - top 0,5% biggest data set globally
 
 
 
 
 Amsterdam
 
 (Hybrid) - Visa sponsorship and relocation included
 
 
 
 
 
 Building the backbone of data &amp; AI at scale. This is not a &ldquo;keep the lights on&rdquo; role.
 
 
 
 
 
 If you are interested in:
 
 <ul>
 <li>
 Working on systems where failure is not an option
 </li>
 <li>
 A team that values engineering quality over shortcuts
 </li>
 <li>
 Real ownership &mdash; you build it, you run it, you improve it
 </li>
 <li>
 Growth paths in deep technical expertise or leadership
 </li>
 <li>
 A setup where your work has visible, measurable impact
 </li>
 </ul>
 
 
 
 
 Check this out:
 
 
 
 
 
 You&rsquo;ll be building and evolving the core platform that everything depends on&mdash;from data pipelines to machine learning and real-time AI services. Think high-scale Kubernetes, complex distributed systems, and real reliability challenges where your decisions actually matter.
 
 
 
 
 
 If you care about uptime, performance, and engineering systems that don&rsquo;t break under pressure, this is your kind of environment.
 
 
 
 
 
 Why this role stands out for SREs / Platform Engineers
 
 <ul>
 <li>
 Reliability is the product &mdash; not an afterthought
 </li>
 <li>
 Work on real-world scale problems (not toy infra)
 </li>
 <li>
 Balance batch, streaming, and real-time workloads in one platform
 </li>
 <li>
 Tackle non-trivial Kubernetes challenges (scheduling, multi-tenancy, resource isolation)
 </li>
 <li>
 Own systems that directly impact data, ML, and AI products
 </li>
 <li>
 High autonomy, high responsibility, low bureaucracy
 </li>
 </ul>
 
 
 
 
 You&rsquo;re not just supporting engineers &mdash; you&rsquo;re enabling an entire ecosystem.
 
 
 
 
 
 What you&rsquo;ll actually do
 
 <ul>
 <li>
 Build and scale Kubernetes-based platform infrastructure, keeping systems highly available under unpredictable load
 </li>
 <li>
 Drive system reliability, availability, and performance. Preventing resource contention between critical and heavy workloads
 </li>
 <li>
 Building secure, multi-tenant platforms without performance trade-offs
 </li>
 <li>
 Automate everything that shouldn&rsquo;t require human intervention
 </li>
 <li>
 Design solutions for high-throughput, data-heavy workloads. Running GPU-powered and compute-intensive workloads efficiently.
 </li>
 <li>
 Optimize scalability. Scaling storage and networking for massive data volumes. Designing smart autoscaling and cost-efficient infrastructure.
 </li>
 <li>
 Support and unblock internal teams using the platform
 </li>
 <li>
 Continuously improve observability, alerting, and incident response
 </li>
 <li>
 Be part of an on-call rotation where reliability truly matters
 </li>
 </ul>
 
 
 
 
 You:
 
 <ul>
 <li>
 Have solid experience in SRE, Platform, or Infrastructure Engineering for data platforms or big data tooling.
 </li>
 <li>
 Are comfortable with Kubernetes in production environments
 </li>
 <li>
 Understand distributed systems and failure modes
 </li>
 <li>
 Care deeply about reliability, observability, and automation
 </li>
 <li>
 Enjoy solving complex problems rather than following playbooks
 </li>
 <li>
 Exposure to high-performance workloads or GPU environments
 </li>
 </ul>
 
 
 
 
 
 Salary and benefits
 
 
 
 The base salary is between 90K and 150K euro, depending on what you bring to the table in terms of skills, personality and experience.
 
 
 Some of the secondary benefits: a permanent contract, 20% guaranteed bonus in stock, 10K+ personal allowance (can be used as extra salary), healthcare allowance (~2K a year), holiday allowance (8%), holidays, laptop, travel allowance, relocation package for Internationals, training &amp; conferences, 30% ruling, VISA sponsorship, luxury lunch, snacks/drinks, work from home setup, etc.
 
 
 
</div>

SRE - Data Platform Engineer - Kubernetes - top 0,5% biggest data set globally

Booking.com

<div>Role Description:
<div>
The Director of Architecture exists to make it easier for engineers to do the right thing. The central architecture team succeeds only if it reduces cognitive load for Business Units and makes engineers&rsquo; lives easier in practice. The role leads Booking.com&rsquo;s enterprise architecture and owns the architectural standards and Tech Guiding Principles that guide it, ensuring they create sensible defaults, reduce cognitive load, and align with the company&rsquo;s strategic and technology direction. The Tech Guiding Principles are shaped as a company-wide effort, bringing together architects, principal engineers and senior technical leaders from across Booking.com. The role is not to define the Tech Guiding Principles in isolation, but to bring together the strongest ideas emerging across the Business Units and turn them into a shared technical direction for Booking.com.</div><div></div><div> 
The role leads a central team of Enterprise Architects and senior technical individual contributors, while working across Booking.com to align Business Units on shared architectural direction, sensible defaults and long-term technology choices. It combines direct leadership of a senior architecture team with influence in a federated organisation, and is accountable for turning central architecture capability into measurable impact across the company.</div><div></div><div> 
The Director of Architecture plays a leading role in defining Booking.com&rsquo;s technology enablement model for how teams build, deliver, secure, and run software. Working with Business Units, Building &amp; Running, Core Platforms, Developer Experience, Security and other foundational teams, the role defines the defaults, shared foundations and operating model that reduce friction across the Software Development Lifecycle and Product Delivery Lifecycle.</div><div></div><div> 
The role also helps define how AI changes the way teams design, build, test, release and operate software. This includes identifying where AI can accelerate delivery, improve quality and reduce repetitive work, while ensuring teams have the right feedback loops, safety measures and platform capabilities to adopt it well at scale.</div><div></div><div> 
The Director of Architecture ensures enterprise direction is grounded in practical delivery needs and reflected in how teams build and run software, working through Business Unit architecture teams and senior engineering leaders. Success depends on understanding the pressures Business Unit leaders and engineering teams are under, and using that understanding to make central architecture feel like support rather than interference. The role does not replace solution architecture within the Business Units; it provides enterprise direction, cross-BU standards, interoperability principles and clear decision-making frameworks to reduce friction, avoid unnecessary coupling, and support engineering velocity. Where risk, regulation and compliance demand it, particularly in domains such as FinTech, the role helps ensure the right controls are built into the defaults, tooling and delivery workflows so teams can stay compliant without unnecessary manual gates.</div><div></div><div> 
The role also helps Booking.com deal pragmatically with its existing technology estate. Success is not measured by perfect consistency or full compliance everywhere, but by using data and judgment to help teams fix the biggest risks, reduce the most harmful complexity and improve the parts of the estate that matter most.</div><h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Lead and develop a central team of Enterprise Architects and senior technical ICs, setting clear expectations, building a strong senior team and creating the conditions for high impact.</li><li>
Act as a connected leader by developing senior talent, building trust across organisational boundaries, and creating alignment through empathy, service, and influence rather than authority.</li><li>
Define and evolve Booking.com&rsquo;s enterprise architecture, architectural standards and Tech Guiding Principles in line with strategic priorities and long-term technology direction.</li><li>
Lead the Tech Guiding Principles as a company-wide effort, bringing together architects, principal engineers and senior technical leaders to identify the strongest ideas emerging across the Business Units and turn them into shared technical direction and sensible defaults for Booking.com.</li><li>
Play a leading role in defining Booking.com&rsquo;s technology enablement model for how teams build, deliver, secure, and run software across the company.</li><li>
Define the defaults, shared foundations and operating model for software delivery at Booking.com, working with Business Units, Building &amp; Running, Core Platforms, Developer Experience, Security, and other foundational teams.</li><li>
Improve engineering velocity by reducing avoidable coupling, duplication and ambiguity, and by embedding sensible defaults into shared platforms, tooling, guardrails, and reusable patterns.</li><li>
Lead the definition of how Booking.com&rsquo;s SDLC and Product Delivery Lifecycle should evolve as AI changes the way software is designed, built, tested, released, and operated.</li><li>
Provide architectural direction on how AI is used across design, development, testing, release, operations and continuous improvement, with the goal of accelerating delivery, improving quality and making work easier for engineers.</li><li>
Align enterprise architecture with Business Unit solution architecture, ensuring local decisions support interoperability, reduce friction and maintain long-term technology coherence where it matters.</li><li>
Drive greater interoperability across Business Units and systems through clear architectural boundaries, interfaces, contracts and decision rights.</li><li>
Establish clear decision-making frameworks, default paths and exception mechanisms that allow teams to move quickly within clear architectural guardrails.</li><li>
Use data and pragmatic judgment to help teams identify and fix the most important risks in the existing technology estate, rather than driving for theoretical consistency everywhere.</li><li>
Maintain and evolve the Tech Radar to guide technology choices and investment in future-fit capabilities and patterns.</li><li>
Provide enterprise architecture oversight in regulated and high-risk domains, ensuring compliance and risk requirements are met through automated, scalable defaults rather than manual gates.</li><li>
Partner with strategy, product and business leaders to identify future capability needs and reflect them in Booking.com&rsquo;s enterprise architecture and technology direction.</li><li>
Define metrics that measure the impact of enterprise architecture on engineering speed, delivery quality, interoperability, resilience, operational health, and risk reduction.</li></ul><h2 class="jobSectionHeader">
Experience and Skills</h2><ul><li>
Significant experience in software, solution and enterprise architecture within large-scale, distributed technology organisations.</li><li>
Proven experience leading teams of Enterprise Architects and senior technical experts, and building strong senior talent.</li><li>
Strong experience defining and evolving enterprise architecture across business, data, application and technology domains.</li><li>
Proven ability to combine direct leadership of a central team with effective leadership across a federated organisation, using empathy and sound judgment to build trust with Business Units.</li><li>
Strong track record of influencing senior engineering, product and business stakeholders and building alignment across organisational boundaries.</li><li>
Deep understanding of interoperability, architectural boundaries, interfaces, contracts and independently deliverable capabilities.</li><li>
Strong understanding of platform architecture, developer workflows and how sensible defaults can be embedded into shared foundations to improve engineering effectiveness.</li><li>
Experience shaping software delivery models, developer workflows or internal platform strategies in large-scale engineering organisations.</li><li>
Strong understanding of modern SDLC practices and the architectural dependencies required to support efficient, secure and reliable software delivery.</li><li>
Strong technical depth in modern cloud technologies, distributed systems and software architecture, with the judgment to apply that depth to real engineering and product delivery problems.</li><li>
Deep technical credibility in software architecture and distributed systems, with the ability to engage senior engineers and Principal Engineers on complex technical trade-offs, challenge assumptions and make sound architectural judgments.</li><li>
Strong track record of solving hard technical problems in large-scale systems, not only setting direction through influence and communication.</li><li>
Strong understanding of emerging technologies, including AI, and the judgment to apply them in practical ways.</li><li>
Experience defining operating models, controls or decision-making frameworks for AI-assisted engineering workflows is strongly preferred.</li><li>
Strong business acumen and the ability to connect architecture and technology strategy to business priorities and long-term capability building.</li><li>
Experience operating in regulated or high-risk domains where governance, compliance and traceability are important architectural concerns.</li><li>
Strong pragmatic judgment, including knowing when to push for a shared standard and when to allow a Business Unit to diverge for the sake of speed or local effectiveness.</li><li>
Ability to communicate a clear technology vision and translate it into a practical architectural direction.</li><li>
Clear and transparent communication, with the ability to align diverse stakeholders around a common direction and make central architecture feel useful, practical and service-oriented.</li><li>
Ability to create momentum across distributed technical groups and operate effectively in ambiguity and organisational complexity.</li><li>
Sound judgment on where to invest for long-term value, while maintaining a customer-centric and inclusive leadership mindset.</li></ul></div>

Director of Architecture - Tech Standards

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Director of Architecture - Tech Standards